Papers
8,340 papers found
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks
Shikuang Deng, Hao Lin, Yuhang Li et al.
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient
Max Ryabinin, Tim Dettmers, Michael Diskin et al.
Symmetry-Aware Robot Design with Structured Subgroups
Heng Dong, Junyu Zhang, Tonghan Wang et al.
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
Sebastien Lachapelle, Tristan Deleu, Divyat Mahajan et al.
Synthetic data for model selection
Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky et al.
Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
Boris Van Breugel, Zhaozhi Qian, Mihaela Van Der Schaar
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
Zhihong Shao, Yeyun Gong, Yelong Shen et al.
System Identification of Neural Systems: If We Got It Right, Would We Know?
Yena Han, Tomaso A Poggio, Brian Cheung
TabDDPM: Modelling Tabular Data with Diffusion Models
Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev et al.
TabLeak: Tabular Data Leakage in Federated Learning
Mark Vero, Mislav Balunovic, Dimitar Iliev Dimitrov et al.
Taming graph kernels with random features
Krzysztof Marcin Choromanski
TAN Without a Burn: Scaling Laws of DP-SGD
Tom Sander, Pierre Stock, Alexandre Sablayrolles
Target-Aware Generative Augmentations for Single-Shot Adaptation
Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga et al.
Target-based Surrogates for Stochastic Optimization
Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad Harikandeh et al.
Task-specific experimental design for treatment effect estimation
Bethany Connolly, Kim Moore, Tobias Schwedes et al.
Task-Specific Skill Localization in Fine-tuned Language Models
Abhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao et al.
Taxonomy-Structured Domain Adaptation
Tianyi Liu, Zihao Xu, Hao He et al.
Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization
Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm
Temporal Label Smoothing for Early Event Prediction
Hugo Yèche, Alizée Pace, Gunnar Ratsch et al.
Temporally Consistent Transformers for Video Generation
Wilson Yan, Danijar Hafner, Stephen James et al.
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems
Ainesh Bakshi, Allen Liu, Ankur Moitra et al.
Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis
Hu Sun, Ward Manchester, Meng Jin et al.
Test-time Adaptation with Slot-Centric Models
Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul et al.
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
Jungwuk Park, Dong-Jun Han, Soyeong Kim et al.
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise
Zhenghao Lin, Yeyun Gong, Yelong Shen et al.